{"id":"https://openalex.org/W2609884448","doi":"https://doi.org/10.1109/icmcs.2016.7905532","title":"Using Mel Frequency Cepstral Coefficient method for online Arabic characters handwriting recognition","display_name":"Using Mel Frequency Cepstral Coefficient method for online Arabic characters handwriting recognition","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2609884448","doi":"https://doi.org/10.1109/icmcs.2016.7905532","mag":"2609884448"},"language":"en","primary_location":{"id":"doi:10.1109/icmcs.2016.7905532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014093771","display_name":"Fateh Bougamouza","orcid":"https://orcid.org/0000-0002-3869-9000"},"institutions":[{"id":"https://openalex.org/I98962006","display_name":"University of Skikda","ror":"https://ror.org/02571vj15","country_code":"DZ","type":"education","lineage":["https://openalex.org/I98962006"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Fateh Bougamouza","raw_affiliation_strings":["Computer Science Department, University of 20Ao\u00fbt1955, Skikda, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of 20Ao\u00fbt1955, Skikda, Algeria","institution_ids":["https://openalex.org/I98962006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080529094","display_name":"Samira Hazmoune","orcid":"https://orcid.org/0000-0001-9630-9595"},"institutions":[{"id":"https://openalex.org/I98962006","display_name":"University of Skikda","ror":"https://ror.org/02571vj15","country_code":"DZ","type":"education","lineage":["https://openalex.org/I98962006"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Samira Hazmoune","raw_affiliation_strings":["Computer Science Department, University of 20Ao\u00fbt1955, Skikda, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of 20Ao\u00fbt1955, Skikda, Algeria","institution_ids":["https://openalex.org/I98962006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073252799","display_name":"Mohammed Benmohammed","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767747","display_name":"University of Constantine 3","ror":"https://ror.org/04wk25q62","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4391767747"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohammed Benmohammed","raw_affiliation_strings":["Distributed Computer Science Laboratory (LIRE), University of Constantine 2, Constantine, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed Computer Science Laboratory (LIRE), University of Constantine 2, Constantine, Algeria","institution_ids":["https://openalex.org/I4391767747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4416,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81751596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8379198908805847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030900955200195},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7799601554870605},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7447261214256287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5854615569114685},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5799938440322876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.50311678647995},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.4527842700481415},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4461888074874878},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.41929149627685547},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.378169983625412}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8379198908805847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030900955200195},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7799601554870605},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7447261214256287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5854615569114685},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5799938440322876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.50311678647995},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.4527842700481415},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4461888074874878},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.41929149627685547},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.378169983625412},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmcs.2016.7905532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmcs.2016.7905532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th International Conference on Multimedia Computing and Systems (ICMCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W140721270","https://openalex.org/W773399410","https://openalex.org/W1523189241","https://openalex.org/W1560013842","https://openalex.org/W1990665784","https://openalex.org/W2016976319","https://openalex.org/W2057701683","https://openalex.org/W2096330373","https://openalex.org/W2113260801","https://openalex.org/W2125838338","https://openalex.org/W2133552271","https://openalex.org/W2148154194","https://openalex.org/W2166744043","https://openalex.org/W2186187354","https://openalex.org/W2239861223","https://openalex.org/W6605683292","https://openalex.org/W6622353592","https://openalex.org/W6633431331","https://openalex.org/W6686291644","https://openalex.org/W6689659531"],"related_works":["https://openalex.org/W3119288895","https://openalex.org/W3003949997","https://openalex.org/W2185075503","https://openalex.org/W2110485610","https://openalex.org/W3199359807","https://openalex.org/W1992908141","https://openalex.org/W4229940372","https://openalex.org/W3047607512","https://openalex.org/W2186375278","https://openalex.org/W2749720872"],"abstract_inverted_index":{"This":[0,113],"paper":[1],"presents":[2],"an":[3,146],"approach":[4],"to":[5,43,107,151],"extract":[6],"features":[7,16,30],"of":[8,54,85,95,98,127,130],"online":[9,44,63,119],"Arabic":[10,64,120],"handwritten":[11,65],"characters":[12],"by":[13,68,157],"combining":[14],"offline":[15],"with":[17,57],"Mel":[18],"Frequency":[19],"Cepstral":[20],"Coefficients":[21],"(MFCCs);":[22],"indeed,":[23],"these":[24],"latter":[25],"are":[26],"commonly":[27],"used":[28],"as":[29,76],"in":[31,110,161],"speech":[32],"recognition":[33,46,122,148],"systems.":[34],"In":[35],"this":[36],"work,":[37],"we":[38,49,89],"have":[39,90],"adapted":[40],"MFCC":[41,56,71],"method":[42],"handwriting":[45,121],"area,":[47],"and":[48,72,83,143],"investigate":[50],"the":[51,55,96,103,108,118,125,131],"classification":[52],"performance":[53],"Hidden":[58],"Markov":[59],"Models":[60],"(HMMs)":[61],"for":[62,117,124],"character":[66,133],"recognition,":[67],"varying":[69],"some":[70],"HMM":[73,86],"parameters":[74],"such":[75],"sampling":[77],"frequency,":[78],"frame":[79,81],"size,":[80],"increment":[82],"number":[84],"states.":[87],"Besides,":[88],"proposed":[91,136],"a":[92],"new":[93],"solution":[94,114],"problem":[97],"distributing":[99],"points":[100],"unevenly":[101],"along":[102],"stroke":[104],"curve,":[105],"due":[106],"variation":[109],"writing":[111],"speed.":[112],"is":[115,138],"appropriate":[116],"systems":[123],"reason":[126],"preserving":[128],"information":[129],"original":[132],"signal.":[134],"The":[135],"system":[137],"evaluated":[139],"using":[140],"NOUN":[141,158],"dataset":[142,159],"it":[144],"gives":[145],"excellent":[147],"rate":[149],"up":[150],"96%":[152],"which":[153],"outperforms":[154],"that":[155],"reported":[156],"owner":[160],"[1,2].":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}